J. Data Sci. Stat. Vis.

Keyphrases

Publications

volume 4, number 1, 2024

Alan Inglis, Andrew Parnell, Catherine Hurley
Visualisations for Bayesian Additive Regression Trees. J. Data Sci. Stat. Vis. 4 (1) (2024)

volume 4, number 2, 2024

Ying Chen, Patrick J. F. Groenen, Kwan-Liu Ma, Stefan Van Aelst
Editorial. J. Data Sci. Stat. Vis. 4 (2) (2024)

volume 4, number 3, 2024

Jean-Pierre Stander, Inger Fabris-Rotelli, Theodor Loots, Johan Magnus van Niekerk, Alfred Stein
An edge preserving median filter for images based on level-sets. J. Data Sci. Stat. Vis. 4 (3) (2024)
Dennis Dingen, Marcel van 't Veer, Tom H. G. F. Bakkes, Erik Korsten, R. Arthur Bouwman, Jarke J. van Wijk
RoA: visual analytics support for deconfounded causal inference in observational studies. J. Data Sci. Stat. Vis. 4 (3) (2024)
Vasilis Chasiotis, Dimitris Karlis
Subdata selection for big data regression: an improved approach. J. Data Sci. Stat. Vis. 4 (3) (2024)
Claudia Cappello, Nikolaus Piccolotto, Christoph Muehlmann, Markus Bögl, Peter Filzmoser, Silvia Miksch, Klaus Nordhausen
Visual Interactive Parameter Selection for Temporal Blind Source Separation. J. Data Sci. Stat. Vis. 4 (3) (2024)
Yin Li, Weng Kee Wong, Hua Zhou, Keumhee Chough Carriere
An Efficient Way to Find Optimal Crossover Designs Using CVX for Precision Medicine: Optimal Crossover Designs via CVX. J. Data Sci. Stat. Vis. 4 (3) (2024)

volume 3, number 1, 2023

Gregory J. Hunt, Johann Gagnon-Bartsch
A Review of Containerization for Interactive and Reproducible Analysis. J. Data Sci. Stat. Vis. 3 (1) (2023)

volume 3, number 2, 2023

Sothea Has
Gradient COBRA: A kernel-based consensual aggregation for regression: Kernel-based Aggregation for Regression. J. Data Sci. Stat. Vis. 3 (2) (2023)

volume 3, number 3, 2023

Iqbal Shamsudheen, Christian Hennig
Should We Test the Model Assumptions Before Running a Model-based Test? J. Data Sci. Stat. Vis. 3 (3) (2023)

volume 2, number 1, 2022

Yiyuan She, Shao Tang, Jingze Liu
On Generalization and Computation of Tukey's Depth: Part I. J. Data Sci. Stat. Vis. 2 (1) (2022)

volume 2, number 2, 2022

Yiyuan She, Shao Tang, Jingze Liu
On Generalization and Computation of Tukey's Depth: Part II. J. Data Sci. Stat. Vis. 2 (2) (2022)

volume 2, number 3, 2022

Stuart Lee, Ursula Laa, Dianne Cook
Casting multiple shadows: interactive data visualisation with tours and embeddings. J. Data Sci. Stat. Vis. 2 (3) (2022)

volume 2, number 4, 2022

Aaron Defazio, Mark Tygert, Rachel Ward, Jure Zbontar
Compressed sensing with a jackknife and a bootstrap. J. Data Sci. Stat. Vis. 2 (4) (2022)

volume 2, number 5, 2022

Takanori Fujiwara, Jian Zhao, Francine Chen, Yaoliang Yu, Kwan-Liu Ma
Network Comparison with Interpretable Contrastive Network Representation Learning. J. Data Sci. Stat. Vis. 2 (5) (2022)

volume 2, number 6, 2022

Juan Domingo Gonzalez, Ricardo A. Maronna, Victor J. Yohai, Ruben H. Zamar
Robust Model-Based Clustering. J. Data Sci. Stat. Vis. 2 (6) (2022)

volume 2, number 7, 2022

volume 1, number 1, 2021

Stefan Van Aelst, Patrick J. F. Groenen
Editorial Founding Issue. J. Data Sci. Stat. Vis. 1 (1) (2021)

volume 1, number 2, 2021

Ruben H. Zamar, Marcelo Ruiz, Ginette Lafit, Javier Nogales
A Stepwise Approach for High-Dimensional Gaussian Graphical Models. J. Data Sci. Stat. Vis. 1 (2) (2021)

volume 1, number 3, 2021

Jakob Raymaekers, Peter J. Rousseeuw
Handling Cellwise Outliers by Sparse Regression and Robust Covariance. J. Data Sci. Stat. Vis. 1 (3) (2021)

volume 1, number 4, 2021

Alessandro Gasparini, Tim P. Morris, Michael J. Crowther
INTEREST: INteractive Tool for Exploring REsults from Simulation sTudies. J. Data Sci. Stat. Vis. 1 (4) (2021)